no code implementations • 22 Feb 2024 • Haeji Jung, Changdae Oh, Jooeon Kang, Jimin Sohn, Kyungwoo Song, Jinkyu Kim, David R. Mortensen
Approaches to improving multilingual language understanding often require multiple languages during the training phase, rely on complicated training techniques, and -- importantly -- struggle with significant performance gaps between high-resource and low-resource languages.
1 code implementation • 24 May 2023 • Geewook Kim, Hodong Lee, Daehee Kim, Haeji Jung, SangHee Park, Yoonsik Kim, Sangdoo Yun, Taeho Kil, Bado Lee, Seunghyun Park
Recent advances in Large Language Models (LLMs) have stimulated a surge of research aimed at extending their applications to the visual domain.